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Sonika AI Toolkit

A robust Python library for building conversational AI agents using LangChain and LangGraph, with multi-provider LLM support.

Features

  • Multi-Model Support — OpenAI, Anthropic (Claude), DeepSeek, Google Gemini, Amazon Bedrock
  • Three Agent Architectures — ReactBot, TaskerBot, OrchestratorBot
  • Classifiers — Text, Intent, Sentiment, Safety, and Image classification
  • 18 Built-in Tools — Bash, file I/O, API calls, web search, databases, and more
  • Typed Interfaces — IConversationBot, IOrchestratorBot ABCs with BotResponse
  • Async Streaming — Real-time events, interrupts, and partial responses
  • Document Processing — PDF, DOCX, XLSX, PPTX extraction and chunking

Quick Install

pip install sonika-ai-toolkit

Quick Example

from sonika_ai_toolkit import OrchestratorBot, OpenAILanguageModel

llm = OpenAILanguageModel("sk-...", model_name="gpt-4o-mini")
bot = OrchestratorBot(
    strong_model=llm, fast_model=llm,
    instructions="You are a helpful assistant.",
    tools=[],
    memory_path="/tmp/bot_memory",
)

result = bot.run("What is the capital of France?")
print(result.content)

Next Steps

  • Getting Started — Installation, API keys, first bot
  • Agents — ReactBot, TaskerBot, OrchestratorBot
  • Classifiers — Text, Intent, Sentiment, Safety, Image
  • Models — Provider configuration and gotchas
  • Tools — Built-in tools and custom tool creation
  • Interfaces — BaseInterface, BotResponse, stream events