pydantic-ai-production-ready-template
Production-ready template for building AI applications with Pydantic AI, FastAPI, PostgreSQL, Redis
GraphCanon updated Sep 9, 2026 · GitHub synced Sep 9, 2026
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Decision brief
Production-ready template for fast AI app deployment using Pydantic AI, FastAPI, PostgreSQL, Redis, LiteLLM with pre-configured CI/CD and observability tools
Good fit when
- You need a ready-to-go setup with FastAPI, PostgreSQL, Redis, Prometheus, and Grafana integrated and well-documented
- Your project requires prompt versioning with LiteLLM and needs tight integration of AI models into existing infrastructure
Avoid when
- If you are looking for flexibility over pre-configured solutions as this template has specific dependencies like PostgreSQL and Redis that might not fit every use case
- You prefer to configure CI/CD, monitoring, and testing tools yourself without predefined configurations, or if your application does not benefit from LiteLLM
- Requirements:
- Requires Docker; Depends on Python >=3.13; Uses 'uv' package manager which is specific; Requires installation via make commands for quick setup
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (232d since push)
- As of Sep 9, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 9, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install pydantic-ai-production-ready-templateSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This repository provides a complete setup with FastAPI integration, database support via PostgreSQL and Redis, observability tools like Prometheus and Grafana for monitoring, comprehensive testing, and CI/CD pipelines.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 9, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 9, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 9, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Requirements Python = 3.13 uv package manager Installation Install project dependencies: For development, install with dev dependencies: Installation Install project dependencies Install project dependencies including dev dependencies Docker Services Start development Docker serv...
For agents
This page has a .md twin and JSON over the API.