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Search pages, API reference sections, and guide headings.
Summary
The Python SDK gives application teams typed access to VideoVector indexes, media, prompts, prompt runs, search, connectors, imports, exports, webhooks, and playground workflows.
Pages in this section
Resource map
The SDK exposes these workflow-focused resources:
client.indexesclient.videosclient.promptsclient.prompt_runsclient.searchclient.connectorsclient.import_jobsclient.exportsclient.webhooksclient.api_keys
The repo also includes usage and rate_limits resources, but this public documentation program intentionally focuses on non-billing workflow surfaces.
Sync and async entry points
from videovector import VideoVector, AsyncVideoVector
Use VideoVector for synchronous integrations and AsyncVideoVector for async applications.
Use the API reference when you need underlying endpoint paths, request shapes, or resource behavior. Use this section when you are implementing application code directly in Python.
Related documentation
The API reference is organized by resource type and workflow boundary for media ingestion, extraction, retrieval, automation, delivery, and agentic search.
Use the guides section for task-oriented implementation steps that build on the core concepts and link directly into API, SDK, and MCP reference material.
The VideoVector MCP docs show how AI clients can browse indexes, run prompts, search media evidence, inspect workflow resources, and validate available tools.