oraicle 1.0.0

Oraicle-Agent — Turn any Google-ADK Agent into a root_agent dynamically.

🧠 Oraicle-Agent

Turn any Google-ADK Agent into a Root Agent - instantly.

Oraicle-Agent is a groundbreaking Python library that extends the Google Agent Development Kit (Google-ADK), enabling any agent to become a root_agent dynamically, without hacks, forks, or duplicated apps.

This unlocks a new architectural paradigm for multi-agent systems:

• Multiple conversational entrypoints
• Direct chat with sub-agents
• True Agent-to-Agent (A2A) orchestration
• Seamless deployment on Vertex AI Agent Engine

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🚀 Why Oraicle-Agent exists

Google-ADK assumes:

• One root_agent per application
• Sub-agents can’t be direct entrypoints
• One conversational domain per deployment

Oraicle-Agent breaks this limitation - intentionally and cleanly.

With Oraicle-Agent, any agent can become the root of a conversation, while still participating in a larger A2A system.

🔥 This is not a hack.
🔥 This is not a fork.
🔥 This is a new abstraction layer.

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✨ What makes Oraicle-Agent unique?

✅ Dynamic Root Agents

Choose at runtime which agent owns the conversation.

✅ Direct Sub-Agent Chat

Users can talk directly to a specialized agent (teacher, assistant, expert) without losing context isolation.

✅ A2A-First Architecture

Root agents orchestrate other agents, while still being callable as standalone conversational entities.

✅ Google-ADK & Vertex AI Compatible

Works with:

• adk web
• ADK loader
• Vertex AI Agent Engine

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🧩 The core idea (one line)

Any Agent can be a root_agent if it is explicitly declared as one.

Oraicle-Agent formalizes this idea.

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📦 Installation

pip install oraicle

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⚡ Quick Start

from oraicle import autoagent
from google.adk.agents import Agent

history_teacher = Agent(
    name="history_teacher",
    model="gemini-2.0-flash",
    instruction="You are a history teacher."
)

autoagent(history_teacher)

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☁️ Deploying to Vertex AI Agent Engine

from app.sub_agents.history_teacher.agent import history_teacher

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📄 License

MIT License © 2026
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