Ai Agent Not Working
An AI agent that stops working in 2026 is almost always failing at one of three stages: the input is not reaching the model (API key expired, wrong endpoint, rate limit hit), the model is not producing the expected output (prompt drift, context length exceeded, wrong model version), or the output is not being handled correctly by your code (parsing error, missing tool call handler).
Why This Happens
- Configuration gaps between tools or services
- Missing integrations or manual workarounds that weren't designed to scale
- Changes in vendor behavior, pricing, or API that weren't communicated clearly
What To Check First
- Verify your current setup matches the vendor's latest documentation
- Look for recent changes — platform updates, new team members, configuration drift
- Check if the problem is consistent or intermittent (different root causes, different fixes)
When To Escalate
- The problem is costing you money or customers per week
- You've spent more than 2 hours on it without progress
- A vendor quoted you more than $500 and you're not sure if it's necessary
Dealing with this right now?
Isolate which stage is failing first. Send a minimal test prompt directly to the API and check the raw response. If that works, the issue is in your agent logic — add logging around the input you are sending and the output you are receiving before any parsing. If the minimal test fails, check your API key validity, rate limit status, and whether the model ID you are using is still available.
