Tech
From API to AI Agent: Turning a Laravel Backend Into a Tool-Using System
Your team decides to add an AI agent to your Laravel application. The initial plan seems straightforward: give the LLM access to your existing REST API, let it figure out the endpoints, and watch it automate customer support.
Then production happens.
The agent calls GET /api/users and pulls 14,000 records into its context window, blowing past the token limit and costing $0.80 for a single turn. It tries to POST to a nested route, guesses the JSON payload wrong, and triggers a validatio...
Read the full discussion on Dev.to
This article was aggregated from Dev.to. Click to join the conversation.
View on Dev.to