Core engine for Maestro AI agent — providers, trust layer, tools, conversation engine
Project description
maestro-core
Core engine for Maestro AI agent. Multi-provider, privacy-first.
Features
- 4 LLM Providers: Anthropic (Claude), OpenAI (GPT), Google (Gemini), Ollama (local)
- Trust Layer: Automatic anonymization of sensitive data (NIR, SIRET, IBAN, emails, names, API keys)
- Provider Router: Auto-route to local/cloud based on data sensitivity
- Conversation Engine: Turn loop with tool calling
- Tool Framework: Base classes + 6 built-in tools (bash, file_read, file_write, file_edit, grep, glob)
Installation
pip install maestro-core
Usage
from maestro_core.engine import ConversationEngine
from maestro_core.provider_router import ProviderRouter, RoutingMode
from maestro_core.tools import ToolRegistry
from maestro_core.tools.bash import BashTool
from maestro_core.config import MaestroConfig
from maestro_core.trust.anonymizer import TrustMode
# Setup
config = MaestroConfig()
router = ProviderRouter(config, RoutingMode.AUTO, TrustMode.STANDARD)
tools = ToolRegistry()
tools.register(BashTool())
engine = ConversationEngine(router=router, tools=tools)
# Chat
result = await engine.run_turn("List Python files", model="claude-sonnet-4")
print(result.response_text)
Trust Layer
from maestro_core.trust.anonymizer import Anonymizer, TrustMode
anon = Anonymizer(TrustMode.STANDARD)
safe = anon.anonymize_text("NIR 267041305561777 SIRET 41021468800013")
# → "NIR [NIR_1] SIRET [SIRET_1]"
restored = anon.deanonymize_text(safe)
# → "NIR 267041305561777 SIRET 41021468800013"
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
maestro_core-1.3.0.tar.gz
(188.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
maestro_core-1.3.0-py3-none-any.whl
(271.8 kB
view details)
File details
Details for the file maestro_core-1.3.0.tar.gz.
File metadata
- Download URL: maestro_core-1.3.0.tar.gz
- Upload date:
- Size: 188.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fe732b1805407a99b9e5f296b8e827edec485a580b893279fd5cba16060efdd2
|
|
| MD5 |
11adf878e709d6b83675632df37fde02
|
|
| BLAKE2b-256 |
557eb154f0f28e666c402821d3c0d8b80653110958e51b83506f0c2cb536ae43
|
File details
Details for the file maestro_core-1.3.0-py3-none-any.whl.
File metadata
- Download URL: maestro_core-1.3.0-py3-none-any.whl
- Upload date:
- Size: 271.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8db169decf6086393c5a3d131e61ecd6e58d3e59178090a50752bb74f987cdb2
|
|
| MD5 |
f2d98879497f0a35fa1b150e7b721b2c
|
|
| BLAKE2b-256 |
b2268889c9db39f5e6188400f5baa611ffa6b47a26d1c4b32020de434d1f5348
|