Fastapi-Langgraph-Agent-Production-Ready-Template

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fastapi-langgraph-agent-production-ready-template is an AI Agents & Automation tool that provides a production-ready FastAPI template for building AI agent applications with LangGraph integration. It offers a robust foundation for scalable, secure, and maintainable AI agent services.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is fastapi-langgraph-agent-production-ready-template?

The fastapi-langgraph-agent-production-ready-template is a comprehensive solution for AI engineers looking to build robust AI agent backends using FastAPI and LangGraph. This template addresses critical aspects of AI agent development, including stateful conversations, long-term memory management, and tool calling. It integrates essential features like Langfuse tracing for observability, Prometheus metrics with Grafana dashboards for monitoring, and JWT authentication with session management for security. Additionally, it includes rate limiting via slowapi, Alembic migrations for database management, and an optional Valkey/Redis cache layer. The template is designed to handle the complex infrastructure, allowing developers to focus on agent logic and accelerate their application development.

Best used for

Ideal for developers and AI engineers who need to quickly set up production-ready AI agent backends, integrate advanced memory features, and ensure robust security and observability. Especially valuable for building scalable and maintainable AI agent services with FastAPI and LangGraph.

Common actions

build AI agents

integrate LangGraph

manage agent memory

secure AI applications

monitor AI services

low-code/no-codeopen-sourcedeepfakecollaborationautomated workflowface swapping"AI Agents"workflowsgithub copilot

Capabilities

Key features

LangGraph stateful agent
Long-term memory (mem0)
Langfuse tracing
JWT authentication
Rate limiting
Alembic migrations
Prometheus metrics

Target Audience

developerdata scientiststartup founder

Integrations

langgraphfastapilangfuseprometheusgrafanamem0pgvectorvalkey+ 1 more

Pricing & Plans

Open Source

Free

FAQs

What kind of memory management does this template offer for AI agents?

The template provides long-term memory capabilities through mem0 and pgvector, enabling semantic search per user. It also includes a cache-backed LLM service with circular model fallback, exponential backoff retries, and a total timeout budget for robust memory handling.

How does the template ensure observability for AI agent applications?

Observability is handled with Langfuse tracing on all LLM calls, providing detailed insights into agent operations. Additionally, it integrates Prometheus metrics and Grafana dashboards for comprehensive monitoring and visualization of application performance.

What security features are included in this FastAPI LangGraph template?

The template incorporates JWT authentication with session management for secure access. It also includes rate limiting via slowapi to protect against abuse and structured logging with request, session, and user context on every line for enhanced security monitoring.

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