logmera 0.1.2

Self-hosted AI observability backend

Logmera

Self-hosted AI observability platform for logging, monitoring, and debugging LLM applications.

Logmera helps developers capture prompts, responses, latency, and model performance — stored securely in your own database.

No cloud lock-in. No vendor-managed service required. Full control.

---

Why Logmera?

When building AI applications, you need visibility into what your models are doing.

Logmera provides:

• Prompt and response logging
• Latency and performance tracking
• Self-hosted storage (PostgreSQL)
• Simple SDK integration
• FastAPI backend with CLI
• Privacy-safe observability

Use Logmera to debug failures, monitor production systems, and understand AI behavior.

---

Quick Start (30 seconds)

1. Install

pip install logmera

2. Start PostgreSQL (Docker)

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

3. Start Logmera

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

Server starts at:

http://127.0.0.1:8000

Health check:

curl http://127.0.0.1:8000/health

Dashboard:

http://127.0.0.1:8000/

The root route serves the web dashboard for viewing and filtering logs.

---

Log Your First AI Event

Using Python SDK

import logmera

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

That's it. Logmera stores it in PostgreSQL.

---

API Usage

Create Log

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

View Logs

curl http://127.0.0.1:8000/logs

---

Architecture

 Your AI App 
     │ 
     ▼
 Logmera SDK 
     │ 
     ▼ 
 Logmera Backend (FastAPI) 
 │ ▼ PostgreSQL Database

Your data stays in your infrastructure.

---

CLI Usage

Start server:

logmera --host 127.0.0.1 --port 8000

Provide database URL:

logmera --db-url "postgresql://user:pass@localhost:5432/logmera"

Disable prompt mode:

logmera --no-prompt --db-url "postgresql://..."

---

Configuration

Environment variables:

DATABASE_URL
DB_POOL_SIZE
DB_MAX_OVERFLOW
DB_POOL_TIMEOUT
LOGMERA_URL
LOGMERA_TIMEOUT_SECONDS
LOGMERA_RETRIES

Config file location:

~/.logmera/config.env

---

Production Deployment

Run with PostgreSQL on any server:

• Local machine
• VPS
• Docker
• Kubernetes
• Cloud VM

Logmera is fully self-hosted.

---

Use Cases

Logmera is ideal for:

• AI SaaS applications
• LLM agents
• Chatbots
• RAG systems
• AI automation pipelines
• Production AI monitoring

---

Roadmap

Planned features:

• Chrome extension
• VS Code extension
• Hosted cloud version
• Advanced analytics
• Multi-project management

---

Philosophy

Logmera is designed to be:

• Simple
• Self-hosted
• Fast
• Developer-friendly
• Privacy-focused

No vendor lock-in.

---

License

MIT License

---

Links

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