I will build custom ai features and llm integrations


About this gig
When you call an LLM API like Claude, Gemini, or OpenAI directly inside a standard Laravel controller, your application risks timing out. LLM response times are highly variable, and synchronous API calls block your web server, degrade user experience, and quickly hit API rate limits under load.
I integrate AI models into Laravel applications the correct way: asynchronously. I offload LLM requests to background queue workers, implement robust rate-limiting to handle API provider thresholds, and write clean, maintainable PHP code.
To deliver this efficiently, I use AI tools to generate boilerplate integration code and initial prompt structures. I then personally design the system architecture, configure your Laravel queue workers (Redis or database) to prevent timeout failures, secure your API keys, and write integration tests to verify the setup.
Get to know Zac G
- FromUnited Kingdom
- Member sinceFeb 2024
- Avg. response time1 hour
Languages
English
FAQ
How do you keep LLM API calls from slowing down my app?
I move the API call out of the request cycle and into the Laravel queue (Redis or database). Your app dispatches a background job, so the server responds instantly, and the frontend polls for the result once the job finishes.
What if the LLM output is inconsistent or does not solve my problem?
I reduce variance with structured JSON outputs and strict system prompts. But if the model itself cannot solve your problem due to its own limits, I cannot refund. I deliver functional, rate-limited, tested integration code that talks to the API as specified.
Do you provide the API keys or pay for LLM usage?
No. You provide your own API keys and keep active billing with OpenAI, Anthropic, or Google. I guide you on adding them securely to your .env file so they are never hardcoded or committed to your repo.

