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Overview

Rotavision integrates with popular cloud providers, ML platforms, and enterprise systems.

Integration Types

Data Sources

Connect your data for analysis:
  • Cloud storage (S3, GCS, Azure Blob)
  • Data warehouses (Snowflake, BigQuery, Redshift)
  • Feature stores (Feast, Tecton)

ML Platforms

Monitor models across platforms:
  • AWS SageMaker
  • Azure ML
  • Google Vertex AI
  • MLflow
  • Kubeflow

LLM Frameworks

Add trust & monitoring to LLM apps:
  • LangChain
  • LlamaIndex
  • Haystack

Notifications

Alert routing:
  • Slack
  • PagerDuty
  • Email
  • Custom webhooks

Quick Setup

Most integrations follow this pattern:
from rotavision import Rotavision
from rotavision.integrations import AWSIntegration

client = Rotavision()

# Configure integration
aws = AWSIntegration(
    access_key_id="...",
    secret_access_key="...",
    region="ap-south-1"
)

# Use with Rotavision
result = client.vishwas.analyze(
    model_id="my-model",
    dataset={
        "data_url": "s3://my-bucket/data.parquet"  # Direct S3 access
    }
)