Releases: tmam-dev/tmam
Initial Public Release
Release Notes
v1.6.0 — Initial Public Release
Released: 2025
Welcome to the first public release of tmam — an open-source, OpenTelemetry-native observability platform for LLM applications, AI agents, and GPU workloads. This release includes the complete platform: the Python SDK, the backend API server, the observability dashboard, and the Docker Compose self-hosting stack.
🚀 What's Included
Python SDK (pip install tmam)
The tmam Python SDK instruments your AI stack automatically. Drop two lines into your application and every LLM call, agent step, and vector database query is traced with zero code changes to your business logic.
from tmam import init
init(url="...", public_key="...", secrect_key="...", application_name="my-app")
The SDK is built on OpenTelemetry 1.31.1 and exports traces, metrics, and events via OTLP HTTP to the tmam server (or any OTLP-compatible backend).
Auto-Instrumentation — 40+ Providers
tmam auto-detects and instruments every supported library present in your environment:
LLM Providers (17)
Provider | Async -- | -- OpenAI | ✅ Anthropic | ✅ Cohere | ✅ Mistral | ✅ AWS Bedrock | — Google Vertex AI | ✅ Google AI Studio | — Azure AI Inference | ✅ Groq | ✅ Ollama | — vLLM | — Together AI | ✅ GPT4All | — LiteLLM | — Reka | ✅ PremAI | — AI21 | —☁️ Cloud
Don't want to self-host? The managed cloud platform at cloud.tmam.ai provides the same full feature set with zero infrastructure to manage.