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Documentation Index

Fetch the complete documentation index at: https://docs.rotavision.com/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

Rotavision integrates with GCP for data access, Vertex AI monitoring, and Gemini routing.

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Cloud Storage

from rotavision import Rotavision

client = Rotavision()

# Analyze data from GCS
result = client.vishwas.analyze(
    model_id="my-model",
    dataset={
        "data_url": "gs://my-bucket/predictions.parquet",
        "gcp_credentials": {
            "service_account_key": {...}  # JSON key
        }
    }
)

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Vertex AI Integration

Monitor Vertex AI endpoints: 
from rotavision.integrations.gcp import VertexAIMonitor

monitor = VertexAIMonitor(
    project_id="my-project",
    endpoint_id="123456789",
    rotavision_api_key="rv_live_..."
)

monitor.start()

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Gemini via Sankalp

Route to Gemini through Sankalp: 
response = client.sankalp.proxy(
    model="gemini-3-pro",
    messages=[{"role": "user", "content": "Hello"}]
)