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Python SDK for Ajah — self-hosted LLM observability gateway

Project description

Ajah Python SDK

Python SDK for Ajah — self-hosted LLM observability gateway.

Installation

pip install ajah-sdk

Quick Start

from ajah import AjahClient

client = AjahClient( gateway_url="http://localhost:8080", api_key="your-groq-key", feature_name="my-app", user_id="user-123", )

response = client.chat( model="llama-3.3-70b-versatile", messages=[{"role": "user", "content": "Hello"}], ) print(response.choices[0].message.content)

Session Tracking

with client.session() as session: response1 = session.chat( model="llama-3.3-70b-versatile", messages=[{"role": "user", "content": "Plan a trip"}], step_name="step-1-planner", ) response2 = session.chat( model="llama-3.3-70b-versatile", messages=[{"role": "user", "content": "Book flights"}], step_name="step-2-booker", ) print(f"Session dashboard: {session.dashboard_url}")

Configuration

Parameter Description Default
gateway_url Ajah gateway URL http://localhost:8080
api_key Your LLM provider API key required
feature_name Feature name for cost attribution "default"
user_id User ID for cost tracking "anonymous"

What You Get

  • Cost attribution per feature and model
  • Hallucination risk scoring on every response
  • RAG verification against source documents
  • Narrative drift detection across sessions
  • PII masking before storage
  • Full session traces in the dashboard

Self-Hosted

git clone https://github.com/VigneshReddy-afk/ajah cd ajah docker-compose up -d

MIT License · GitHub · useajah.com

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