What is Logmera?

Logmera is a self-hosted observability tool for AI / LLM applications.

It helps developers understand what their AI systems are doing.

Instead of printing logs to the console, Logmera stores:

• prompts
• responses
• model name
• latency

in a PostgreSQL database and shows them in a web dashboard.

Your data stays on your infrastructure.

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Source Code: https://github.com/ThilakKumar-A/Logmera/

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Why use Logmera?

When building AI applications it becomes hard to know:

• what prompts were sent
• what responses were returned
• how long requests took
• which model was used
• when errors happened

Logmera helps you see and monitor all AI activity in one place.

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How it works

Your AI App
     │
     ▼
Logmera SDK
     │
     ▼
Logmera Server
     │
     ▼
PostgreSQL
     │
     ▼
Dashboard

Your application sends logs to Logmera. Logmera stores them and displays them in the dashboard.

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Quick Start

1. Install

pip install logmera

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2. Start PostgreSQL

You can use any PostgreSQL database.

Example connection string:

postgresql://username:password@localhost:5432/database

If you do not have PostgreSQL installed, you can run it with Docker.

docker run --name logmera-postgres \
-e POSTGRES_USER=postgres \
-e POSTGRES_PASSWORD=postgres \
-e POSTGRES_DB=logmera \
-p 5432:5432 -d postgres:16

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3. Start Logmera

logmera --db-url "postgresql://postgres:postgres@localhost:5432/logmera"

Server starts at:

http://127.0.0.1:8000

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Open the Dashboard

Open your browser:

http://127.0.0.1:8000

You will see your AI logs in the dashboard.

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Python Example

Add Logmera to your AI code.

import logmera

logmera.log(
    project_id="chatbot",
    prompt="Hello",
    response="Hi there",
    model="gpt-4o",
    latency_ms=120,
    status="success"
)

Now the request will appear in the Logmera dashboard.

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API Example

You can also send logs using the API.

curl -X POST http://127.0.0.1:8000/logs \
-H "Content-Type: application/json" \
-d '{
  "project_id":"my-app",
  "prompt":"Hello",
  "response":"Hi",
  "model":"gpt-4o",
  "latency_ms":95,
  "status":"success"
}'

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API Endpoints

Method	Endpoint	Description
GET	/health	Health check
POST	/logs	Create log
GET	/logs	Get logs

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Configuration

Example CLI:

logmera --host 127.0.0.1 --port 8000

Environment variables:

DATABASE_URL
LOGMERA_URL
LOGMERA_TIMEOUT_SECONDS
LOGMERA_RETRIES

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Deployment

Logmera can run on:

• Local machines
• Docker
• VPS servers
• Kubernetes
• Cloud VMs

Because Logmera is self-hosted, your AI data remains private.

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License

MIT License

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Links

PyPI https://pypi.org/project/logmera/

GitHub https://github.com/ThilakKumar-A/Logmera/