nirixa 2.0.0

AI Observability & Cost Intelligence — track token costs, latency, and hallucination risk

nirixa

AI Observability & Cost Intelligence — track token costs, latency, and hallucination risk for every LLM call, with zero friction.

pip install nirixa

---

Quick Start

from nirixa import NirixaClient
import openai

nirixa = NirixaClient(api_key="nirixa-your-key")

# Wrap any LLM call — response is completely unchanged
response = nirixa.track(
    feature="/api/chat",
    fn=lambda: openai.chat.completions.create(
        model="gpt-4o-mini",
        messages=[{"role": "user", "content": "Hello!"}]
    )
)

print(response.choices[0].message.content)

---

Three Ways to Integrate

1. wrap() — Transparent client proxy (recommended)

Wrap a provider client once and use it exactly like the original. Model, provider, and prompt are auto-extracted from every call — no duplication.

from nirixa import NirixaClient
from openai import OpenAI

nirixa = NirixaClient(api_key="nirixa-your-key")
openai  = OpenAI()

ai = nirixa.wrap(openai, feature="/api/chat", user=user_id)

# Use ai exactly like openai — tracking is automatic
response = ai.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello!"}]
)

Works with any provider:

import anthropic

claude = nirixa.wrap(anthropic.Anthropic(), feature="/api/analyze")
response = claude.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Summarize this..."}]
)

2. track() — Explicit per-call wrapping

prompt = "Summarize this document..."
response = nirixa.track(
    feature="/api/summarize",
    user="user-123",
    prompt=prompt,   # optional: improves hallucination scoring
    fn=lambda: openai.chat.completions.create(
        model="gpt-4o-mini",
        messages=[{"role": "user", "content": prompt}]
    )
)

model and provider are auto-detected from the response — no need to pass them.

3. Auto-patch — Zero code changes

Patch provider SDKs globally at app startup. Every call is tracked without touching existing code.

from nirixa import NirixaClient
from nirixa.middleware import patch_openai, patch_all

nirixa = NirixaClient(api_key="nirixa-your-key")

# Patch a specific provider
patch_openai(nirixa, feature="/api/chat")

# Or patch every installed provider at once
patch_all(nirixa)
# [nirixa] Patched 4 providers: OpenAI, Anthropic, Groq, Gemini

---

Module-level API

Skip NirixaClient() and use the module-level singleton:

import nirixa

nirixa.init(api_key="nirixa-your-key")

# track
response = nirixa.track(
    feature="/api/chat",
    fn=lambda: openai.chat.completions.create(...)
)

# wrap
ai = nirixa.wrap(openai_client, feature="/api/chat")

# flush before script exit
nirixa.get_client().flush()

---

Supported Providers

Provider	Auto-detected via	Patch function
OpenAI	choices + usage	patch_openai
Anthropic	content + usage	patch_anthropic
Groq	OpenAI-compatible shape	patch_groq
Google Gemini	usage_metadata	patch_gemini
Mistral	OpenAI-compatible shape	patch_mistral
Together AI	OpenAI-compatible shape	patch_together
Ollama	prompt_eval_count	patch_ollama
AWS Bedrock	ResponseMetadata	—

---

Configuration

nirixa = NirixaClient(
    api_key="nirixa-your-key",          # Required
    host="https://api.nirixa.in",       # Default
    score_hallucinations=True,  # Hallucination risk scoring (LOW/MEDIUM/HIGH)
    async_ingest=True,          # Non-blocking — zero added latency
    debug=False,                # Log each tracked call to console
)

---

What Gets Tracked

Metric	Description
Token cost	Per-call USD cost by feature and model
Latency	p50 / p95 / p99 response times
Hallucination risk	LOW / MEDIUM / HIGH heuristic scoring
Prompt drift	Output variance over time
Error rate	Failed calls by feature

---

flush() — Before script exit

In scripts or short-lived processes, call flush() to ensure all async ingests complete:

nirixa = NirixaClient(api_key="nirixa-your-key")
# ... your code ...
nirixa.flush()

---

Install with provider extras

pip install "nirixa[openai]"
pip install "nirixa[anthropic]"
pip install "nirixa[gemini]"
pip install "nirixa[all]"   # installs every supported provider

---

Links

• Dashboard: nirixa.in
• JS/TS SDK: npm install nirixa
• Docs: nirixa.in/docs
• Email: [e-mail]

---

निरीक्षा — Observe everything.