I published pip install ajah-sdk and npm install ajah-sdk — here's what they do

A developer released Python and Node.js SDKs for Ajah, an open-source self-hosted LLM observability gateway. The SDKs simplify integration by replacing manual header injection with a single import, enabling features like hallucination scoring, cost attribution, and PII masking. Ajah runs locally via Docker, ensuring data privacy under an MIT license.

After two weeks of building Ajah — an open-source self-hosted LLM observability gateway — today I hit a milestone that actually matters for developer adoption. pip install ajah-sdk npm install ajah-sdk Both are live. Both work. Here's what they do and why I built them. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE PROBLEM THEY SOLVE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Ajah is a gateway proxy that sits between your app and any LLM provider. It scores every response for hallucination risk, verifies RAG outputs, detects narrative drift across sessions, attributes costs per feature, and masks PII before storage. Before the SDKs, using Ajah required: Now it's one import. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PYTHON SDK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ pip install ajah-sdk from ajah import AjahClient client = AjahClient gateway url=" http://localhost:8080 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"} , Every call through the SDK automatically injects the Ajah observability headers: X-Feature-Name, X-User-ID, X-Session-ID, X-Agent-Step These headers drive the entire Ajah pipeline — cost attribution, quality scoring, PII detection, session tracing. Session tracking for multi-turn agents: with client.session as session: plan = session.chat model="llama-3.3-70b-versatile", messages= {"role": "user", "content": "Plan research"} , step name="step-1-planner", research = session.chat model="llama-3.3-70b-versatile", messages= {"role": "user", "content": "Execute plan"} , step name="step-2-researcher", print f"View session: {session.dashboard url}" AjahSession automatically increments step numbers, maintains the session ID across turns, and gives you a direct URL to the visual step tree in the Ajah dashboard. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NODE.JS SDK TYPESCRIPT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ npm install ajah-sdk import { AjahClient } from 'ajah-sdk' const client = new AjahClient { gatewayUrl: ' http://localhost:8080 http://localhost:8080 ', apiKey: process.env.GROQ API KEY , featureName: 'my-app', userId: 'user-123', } const response = await client.chat { model: 'llama-3.3-70b-versatile', messages: { role: 'user', content: 'Hello' } , } Full TypeScript types included. AjahSession works the same way: const session = client.session const r1 = await session.chat { model: 'llama-3.3-70b-versatile', messages: ... , stepName: 'step-1-planner', } console.log session.dashboardUrl ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT RUNS BEHIND THE SDK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Every call through the SDK goes through the Ajah gateway which runs: Hallucination scoring — sentence transformers evaluate every response for factual grounding. Async. Zero latency added. Claim density detection — flags responses that make many specific claims on low-context prompts. Linguistic hedge detection — flags overconfident responses on complex medical, legal, or financial questions. Narrative drift detection — compares claims across session turns. Flags when a model reverses position. Cost attribution — USD cost per call, tracked by feature and model. PII masking — emails, phones, SSNs, credit cards masked before storage. RAG verification — if you pass source documents, responses are verified against them. Contradictions flagged. Prometheus metrics — all signals exposed at /metrics for Grafana integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SELF-HOSTED ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The SDK points at your own running Ajah instance. No data goes through my servers. git clone https://github.com/VigneshReddy-afk/ajah https://github.com/VigneshReddy-afk/ajah cd ajah docker-compose up -d Then use the SDK pointing at localhost:8080. MIT license. Free forever. → pip install ajah-sdk → npm install ajah-sdk → github.com/VigneshReddy-afk/ajah → useajah.com