APIs & AI - FastAPI

FastAPI - APIs with bite.

Lean, typed APIs for integrations and AI orchestration. OpenAPI included - without a framework cathedral.

OpenAPI Orchestration RAG Webhooks

When FastAPI fits

When you need a clear HTTP edge - in front of models, jobs or several clients.

AI without a door

A model in a notebook, no auth, no limits. FastAPI becomes the door.

Many clients

Shop, CRM, internal tool. One contract, versioning, error codes.

Webhooks & events

Clean up incoming events, sign them, pass them on.

PHP stays the core

You do not want to migrate - just a fast edge in front of it or beside it.

What we deliver in FastAPI

Contract, security, operations.

APIs

Pydantic models, OpenAPI, auth (token/OIDC), validation.

AI orchestration

RAG pipelines, prompt routing, fallbacks. See AI adoption.

Jobs behind the API

Long-running work in queues, status endpoints, webhooks back.

Integration

Bitrix24, Shopware, Symfony/Laravel - as clients, not as copies.

Approach: contract first

Before we wire up models, the API contract is in place. Clients should build against a schema, not against our mood.

  • Define resources and auth
  • OpenAPI as the source, not as an afterthought
  • Pilot with limits, logs and a cost cap
  • Handover: spec, runbook, staging

Typical environment

FastAPI, Python 3, Uvicorn/Gunicorn, often Redis or a queue. Models via API. PHP systems remain the system of record.

How a FastAPI edge takes shape

Spec, slice, hardening.

1

Contract

Endpoints, errors, auth. In writing.

2

Slice

One flow in staging against real data.

3

Harden

Rate limits, timeouts, observability, PII.

4

Operate

Deploy, metrics, optional maintenance.

What integrations rely on

APIs you can quote.

OpenAPI taken seriously

The spec does not lie. Breaking changes are real work, not just “some Wednesday”.

AI with brakes

Costs, timeouts, human in the loop - part of the design.

No shadow platform

FastAPI orchestrates, it does not replace your CRM.

Example setup (illustrative)

Internal assistant: FastAPI orchestrates RAG across the manual and the ticket history, writes drafts into Bitrix24 and escalates when confidence is low. Target metrics: first response, sources, cost per request.

Frequently asked questions

API questions, briefly.

FastAPI or Node.js?

Close to Python and AI: FastAPI. A JS team and a BFF in front of an SPA: often Node.js. Sometimes both, clearly separated.

Django or Flask?

Django when the admin or CMS lives in Python. We know Flask. For APIs plus AI, FastAPI is usually the shorter route.

Self-hosted LLM?

When data protection or costs call for it. Otherwise API models plus RAG.

How do you version?

URL or header, with visible deprecation. Clients get advance notice.

Auth?

Token, OIDC or m2m - depending on the client. No open endpoints “because it is internal”.

How do we start?

One contract plus one flow. A fixed scope after the kickoff.

More stacks

Related technologies we often use alongside.

An API with a contract?

Tell us the clients and the first flow - we outline the spec and the pilot.