AI Chat SDK

Our AI Chat SDK provides a unified interface for working with multiple AI models, offering seamless integration, reliable performance, and enhanced capabilities.

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Installation

pip install zeebee-ai-chat-sdk

Quick Start

from zeebee_ai import ChatClient

# Initialize client with your API key
client = ChatClient(api_key="your_api_key")

# Send a message
response = client.chat(
    messages=[{"role": "user", "content": "Hello, who are you?"}],
    model="claude-3-5-sonnet-20241022"
)

print(response["content"])

Multiple Providers

Unified interface for OpenAI, Anthropic, Google, and Mistral models with a single API.

Real-time Integration

WebSocket support for streaming responses with minimal latency.

Voice Capabilities

Built-in speech-to-text and text-to-speech for voice-based interactions.

SDK Features

Model Context Protocol

Advanced context management for more relevant AI responses. The Model Context Protocol (MCP) provides structured ways to include external knowledge and instructions.

Vector Search Integration

Built-in semantic search capabilities for retrieving relevant information from your knowledge base and integrating it with AI responses.

Telemetry & Analytics

Comprehensive usage tracking and performance analytics through Langfuse integration. Monitor model performance, costs, and user interactions.

Policy Enforcement

Configurable policy engine to ensure AI outputs meet your organization's standards for safety, accuracy, and compliance.

Supported Models

Provider	Models	Features
OpenAI	GPT-4o, GPT-4, GPT-3.5 Turbo	Chat, Function Calling, Vision, Embedding
Anthropic	Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Sonnet	Chat, Vision, Tool Use
Google	Gemini 1.5 Pro, Gemini 1.0 Pro	Chat, Vision, Function Calling
Mistral	Mistral Large, Mistral Medium, Mistral Small	Chat, Function Calling

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