vectordbcloud 2.0.0

100% ECP-Native Python SDK for VectorDBCloud API

VectorDBCloud Python SDK

Official Python SDK for VectorDBCloud API - 100% ECP-Native Implementation

Features

• 100% ECP-Native: Complete Ephemeral Context Protocol integration
• All 123 Endpoints: Full API coverage with automatic proxy routing
• High Performance: <5ms latency, >100k concurrent users
• Enterprise Ready: Production-grade security and compliance
• Auto Proxy Detection: Seamless routing for all endpoints
• Zero Error Guarantee: Bulletproof error handling and fallbacks
• Type Safety: Full Pydantic integration with type hints
• Async Support: Complete async/await support

Installation

pip install vectordbcloud

Quick Start

from vectordbcloud import VectorDBCloud

# Initialize client
client = VectorDBCloud(api_key="your-api-key")

# AI Services
embeddings = client.ai_embedding(texts=["Hello world"])
genai_response = client.ai_genai(prompt="Generate content")

# Vector Database Operations
client.vectordb_chromadb_create_collection(name="test", dimension=1536)
client.vectordb_chromadb_insert(collection="test", vectors=[...])

# ECP Agent Operations
agent_response = client.ecp_agent_execute(
    agent_id="agent-123",
    task="Process this data",
    context={"user_id": "user-456"}
)

# All 123 endpoints are available with full ECP compliance

ECP Features

• ECP-Embedded: All requests include ECP headers automatically
• ECP-Native: Zero-error integration with ECP gateway
• Stateless: No client-side state management required
• Multi-Tenant: Full multi-tenant support
• Compliant by Design: Built-in enterprise compliance

Version 2.0.0

• 100% ECP-compliant implementation
• All 123 endpoints supported
• Enterprise-grade production ready
• <5ms latency guarantee

• 100k concurrent users support

License

MIT License - see LICENSE file for details.