tmam Overview
tmam simplifies the AI development workflow, particularly for Generative AI and LLMs. It streamlines core tasks like LLM experimentation, prompt management and versioning, and secure API key handling. With a single line of code, developers can enable OpenTelemetry-native observability, gaining full-stack insights across LLMs, vector databases, and GPUs. This makes it easy to move confidently from prototyping to production. tmam actively follows and maintains OpenTelemetry Semantic Conventions, staying up-to-date with the latest observability standards.
Features
- Analytics Dashboard: Monitor your AI application’s health and performance with detailed dashboards that track metrics, costs, and user interactions, providing a clear view of overall efficiency
- OpenTelemetry-native Observability SDKs Vendor-neutral SDKs to send traces and metrics to your existing observability tools.
- Cost Tracking for Custom and Fine-Tuned Models: Tailor cost estimations for specific models using custom pricing files for precise budgeting.
- Exceptions Monitoring Dashboard: Quickly spot and resolve issues by tracking common exceptions and errors with a dedicated monitoring dashboard.
- Prompt Management: Manage and version prompts using Prompt Hub for consistent and easy access across applications.
- API Keys and Secrets Management: Securely handle your API keys and secrets centrally, avoiding insecure practices.
- Experiment with different LLMs: Use OpenGround to explore, test and compare various LLMs side by side.
See features in details