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Overview

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

AWS

S3, SageMaker, Bedrock

Azure

Blob Storage, Azure ML, OpenAI

Google Cloud

GCS, Vertex AI, Gemini

LangChain

LangChain integration

LlamaIndex

LlamaIndex integration

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Integration Types

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Data Sources

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

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ML Platforms

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

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LLM Frameworks

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

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Notifications

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

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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
    }
)