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"
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