gentiq 0.7.6b1

A world-class, modular framework for building production-ready AI chatbots.

Gentiq Backend Framework (Python)

The core Python engine for building high-performance, agentic AI backends.

gentiq-python is a modular, FastAPI-based framework built on top of PydanticAI. It handles all the infrastructure—persistence, security, and streaming—allowing you to focus entirely on defining your agents and tools.

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🚀 Key Features

• GentiqApp Factory: Rapidly initialize a production-ready FastAPI application with just an agent.
• Deep PydanticAI Integration: Fully supports PydanticAI's type-safe agent system.
• Dependency Injection: Automatic injection of AgentDeps containing UserStore, ChatStore, and the current User.
• Atomic Balance Tracking: Integrated per-user token and request balance management with automatic deduction.
• Pluggable Persistence: Switch between SQLite/MongoDB and FileSystem/MinIO with simple configuration.
• Advanced Admin Management: Secure API endpoints for user analytics, chat history auditing, and permission-based administration.

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📦 Installation

Since Gentiq is typically used as a core framework, you can install it via pip:

pip install gentiq

For monorepo development, it is recommended to install it in editable mode:

# In your app's pyproject.toml
[tool.uv.sources]
gentiq = { path = "../../../packages/gentiq-python", editable = true }

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💡 Quick Start

from gentiq import GentiqApp, AgentDeps
from pydantic_ai import Agent

# Define your agent
agent = Agent[AgentDeps[dict]]('openai:gpt-4o')

# Initialize GentiqApp
app = GentiqApp(agent, app_name="MyAI")

# GentiqApp.api is a regular FastAPI instance
# Run with: uvicorn main:app.api --reload

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📂 Core Modules

• gentiq.app: The main application orchestrator (GentiqApp).
• gentiq.stores: High-level stores for users, chat history, and administration.
• gentiq.engines: Pluggable persistence backends (SQLite, MongoDB, S3, FileSystem).
• gentiq.auth: Pluggable JWT-based authentication adapters.
• gentiq.api.dependencies: Reusable FastAPI dependencies like get_user_store, get_chat_store, and get_current_user.

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🛠️ Local Development

To contribute or test the package locally:

1. Install uv: Ensure you have uv installed.
2. Sync Dependencies:

   uv sync
   

3. Run Tests (if applicable):

   uv run pytest