Installation

Installation guide for our application.

Setting up tmam is straightforward, with options to use Python or Typescript SDK. To see your traces in tmam dashboard, you need to create public and privite key in for your project at tmam cloud

Python SDK

To get started, you can use our Python SDK.

1
Step 1: Insall our SDK

Begin by install python SDK:

pip install tmam
2
Step 2: Add observability

After install SDK, add observability to your GenAI application with one line:

  import tmam

    tmam.init(
        url="http://api.tmam.ai/api/sdk/v1",
        public_key="pk-tmam-0edeba2a-f6f3-4efd-982c-412adbb03046",
        secret_key="sk-tmam-b320dda9-e36d-4eac-8ac5-4793fd38e002",
    )

    # Your LLM or agent code here
    from openai import OpenAI
    # ...
    Once initialized, tmam will auto-instrument supported components and begin sending traces and metrics to TMAM’s backend.

Javascript SDK

To get started, you can use our Python SDK.

1
Step 1: Insall our SDK

Begin by install python SDK:

pip install tmam
2
Step 2: Add observability

After install SDK, add observability to your GenAI application with one line:

  import tmam

    tmam.init(
        url="http://api.tmam.ai/api/sdk/v1",
        public_key="pk-tmam-0edeba2a-f6f3-4efd-982c-412adbb03046",
        secret_key="sk-tmam-b320dda9-e36d-4eac-8ac5-4793fd38e002",
    )

    # Your LLM or agent code here
    from openai import OpenAI
    # ...
    Once initialized, tmam will auto-instrument supported components and begin sending traces and metrics to TMAM’s backend.