LangChain integration
LangChain output cap setup
LangChain workflows can grow expensive when requests loop or context gets large. Output caps keep long responses and agent loops from eating the budget. NexRelay keeps the first test small and reversible.
LangChain output capLangChain API keyLangChain prepaid APILangChain gateway
Why this setup works
A dedicated LangChain key keeps testing separate from production while NexRelay adds prepaid balance checks and request logs.
Recommended setup
Set a max output token limit before running any long prompt or coding task.
- One key per LangChain workflow
- Start with a small budget
- Keep the model list narrow
- Review the first log entry
What to verify
Check that the request stops within the configured output boundary.
FAQ
Why cap output first?
Because long responses are one of the easiest ways to overspend.
Can output caps sit beside budgets?
Yes. They work best together.