You will get Integrate ChatGPT or Claude API into your Python app | FastAPI
Project details
Most LLM integrations break in production. The API key ends up in the code, errors crash the app silently, costs spiral with no visibility, and the "chatbot" forgets everything after one message. I've seen this pattern dozens of times — and I fix it.
With 10+ years in software engineering and hands-on LLM deployments for enterprise clients at Google (via Globant), I build AI integrations that are clean, documented, and production-ready from day one. Not a quick hack — actual engineering.
What makes this different: you get proper prompt engineering, conversation history, error handling with retries, token cost logging, and environment variable management — all with detailed code comments so your team can maintain it after delivery.
I work with OpenAI GPT-4o, Anthropic Claude, and Google Gemini. Your existing Flask, FastAPI, or Django app — I plug in cleanly without rewriting what already works.
Delivery in 3–7 days depending on tier. Source code, .env template, README, and a working endpoint you can test immediately. If something isn't right, I fix it — that's what revisions are for.
With 10+ years in software engineering and hands-on LLM deployments for enterprise clients at Google (via Globant), I build AI integrations that are clean, documented, and production-ready from day one. Not a quick hack — actual engineering.
What makes this different: you get proper prompt engineering, conversation history, error handling with retries, token cost logging, and environment variable management — all with detailed code comments so your team can maintain it after delivery.
I work with OpenAI GPT-4o, Anthropic Claude, and Google Gemini. Your existing Flask, FastAPI, or Django app — I plug in cleanly without rewriting what already works.
Delivery in 3–7 days depending on tier. Source code, .env template, README, and a working endpoint you can test immediately. If something isn't right, I fix it — that's what revisions are for.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI-Generated CodeAI Development Language
PythonAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$130
|
Standard
$250
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50Frequently asked questions
About Eliécer Urbano
Python Developer, Software designer
Bogotá, Colombia - 1:03 am local time
Experience with long systems and best practices.
Experience as tech lead and mentor.
Steps for completing your project
After purchasing the project, send requirements so Eliécer Urbano can start the project.
Delivery time starts when Eliécer Urbano receives requirements from you.
Eliécer Urbano works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & codebase review
I review your existing code, framework, and use case. If you shared a repo, I analyze it same day. No calls needed — async is fine.
LLM service design
I design the integration architecture: prompt structure, history management, error handling strategy, and cost logging approach before writing a line.