ACIS — AI Context & Intelligent System SDK
Project description
ACIS SDK
AI Context & Intelligent System — Memory for LLM Applications
Installation
pip install "git+https://oauth2:<your-gitlab-token>@git.skaleup.tech/genai-projects/chatbot/genai-hc-stm-ltm.git@UAT#subdirectory=sdk_pkg"
Note: Use a GitLab Personal Access Token with
read_repositoryscope. Prefix withoauth2:as username.
Quick Start
from acis import MemoryClient
# Point to your ACIS deployment
client = MemoryClient(
tenant_id="your-tenant-uuid",
base_url="http://10.0.1.50:8000", # ACIS server IP
)
# Create session
session = client.create_session(user_id="user-123")
# Every turn:
client.add_event(session_id=session.session_id, role="user", content="Hello")
ctx = client.get_context(session_id=session.session_id, query="Hello")
# ctx.messages → pass directly to any LLM (OpenAI, Azure, Anthropic, etc.)
response = your_llm(messages=ctx.messages)
client.add_event(session_id=session.session_id, role="assistant", content=response)
# End conversation
client.close_session(session_id=session.session_id)
Only Dependency
httpx(HTTP client)
That's it. No PostgreSQL, Redis, Celery, or Django needed on the app server.
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