fastapi langgraph agent production ready template
Basic Information
This repository is a production-ready template intended to help developers build AI agent applications using FastAPI and LangGraph. It provides a ready foundation for creating server-side agent services, combining the FastAPI web framework with LangGraph integration so agents can leverage graph-based language tooling. The template is positioned to reduce initial setup time for projects that require a reliable API layer and integration with LangGraph for agent behavior or orchestration. The README and repository signals emphasize a starter project aimed at production deployment patterns rather than a single end-user agent, making it useful for teams developing custom AI agent systems.
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Features
The template centers on FastAPI-based server scaffolding and direct integration points for LangGraph to support building agent logic. It offers structured project layout and starter code to implement API endpoints that connect agent components with LangGraph services. The repository is described as production-ready, implying attention to configuration, dependency management, and practical patterns for running an agent-backed web service. The package name and description indicate the repo is focused on developer usability and accelerating common integration tasks when combining a Python web API with LangGraph capabilities.
Use Cases
This template helps developers accelerate the creation of AI agent applications by providing a prebuilt FastAPI foundation that already integrates LangGraph. It reduces boilerplate and early architectural decisions so teams can focus on implementing agent behavior, custom logic, and domain-specific features. By supplying a production-oriented starting point, it can shorten time-to-deployment and encourage consistent patterns for API design and LangGraph usage. The repo is most useful for backend developers and small teams who need a reliable, repeatable setup for building and operating agent-enabled services.
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