aifw 0.4.0

Django AI Services Framework — DB-driven LLM provider, model & usage management

aifw — Django AI Services Framework

DB-driven LLM provider, model & usage management for Django projects.

Installation

pip install aifw

Quick Start

# settings.py
INSTALLED_APPS = [
    ...
    "aifw",
]

# Run migrations
python manage.py migrate aifw

# Use in views, tasks, management commands
from aifw.service import sync_completion, LLMResult

result: LLMResult = sync_completion(
    action_code="story_writing",
    messages=[{"role": "user", "content": "Write a short story about a dragon."}],
)

if result.success:
    print(result.content)

Features

• DB-driven model routing — swap LLM providers/models via Django Admin, zero code changes
• Multi-provider — OpenAI, Anthropic, Google, Ollama, any LiteLLM-compatible provider
• Async & sync — completion() (async), sync_completion() (sync), completion_with_fallback()
• Usage logging — automatic token & cost tracking per action type
• Fallback models — configure primary + fallback model per action type

Models

• LLMProvider — provider config (API key env var, base URL)
• LLMModel — model config (max tokens, cost per million tokens)
• AIActionType — action → model mapping with fallback
• AIUsageLog — token/cost/latency tracking per request

Management Commands

python manage.py init_llm_config   # seed default providers & models