AgentDeploy

Zero-to-production AI agent deployment framework.

Built by SubstrAI — Open-source GenAI frameworks for serverless infrastructure.

The Problem

Building an AI agent is easy. Deploying it to production with auth, scaling, sessions, cost controls, and multi-tenancy takes weeks of custom infrastructure — every time.

The Solution

from agentdeploy import agent, Tool, Session

@Tool(description="Search knowledge base")
def search_kb(query: str) -> list:
    return ["result 1", "result 2"]

@agent(name="support-agent", model="bedrock/claude-3-sonnet", tools=[search_kb])
def support_agent(message: str, session: Session) -> str:
    return f"I can help with: {message}"

agentdeploy deploy --env prod
# ✓ Deployed: https://xxx.execute-api.us-east-1.amazonaws.com/prod/agent

Features

• @agent decorator — turn any function into a deployable agent
• Session management — DynamoDB-backed conversation persistence
• Tool sandboxing — per-tenant tool permissions with audit trail
• Cost circuit breakers — auto-kill runs exceeding budget
• Multi-tenancy — tenant isolation, rate limiting, cost tracking
• One-command deploy — API Gateway + Lambda + DynamoDB
• Provider agnostic — works with Bedrock, OpenAI, Anthropic, custom
• Adapter interface — supports LangChain, CrewAI, Strands, custom agents

Installation

pip install substrai-agentdeploy

Quick Start

agentdeploy init my-agent
cd my-agent
agentdeploy dev    # local dev server
agentdeploy deploy --env prod

License

MIT — see LICENSE

Author

Gaurav Kumar Sinha — Founder, SubstrAI

• Email: gaurav@substrai.dev
• GitHub: @substrai